Ole A. Andreassen

The paper uses sequence-to-function models to show that long-range regulatory information in vertebrate genomes stops being shared before local sequence information, with a phylogenetic boundary around 320-435 Mya.

The paper identifies a mid-gestational molecular mechanism linking cortical size and ADHD through genetic and single-cell RNA sequencing analyses.

The paper quantifies the contribution of structural variants to complex trait heritability using MiXeRSV, finding SVs explain up to 32% of heritability in some traits.

This study identifies genetic loci associated with childhood eating behaviour and shows they mediate obesity risk through distinct pathways, primarily driven by the child's own genotype.

The paper quantifies how heritability is distributed across genomic regions for different polygenicity levels in complex traits, showing exons contribute less and intergenic regions more in highly polygenic traits.

The paper identifies shared genetic variants between major psychiatric disorders and retinal traits, revealing molecular mechanisms linking retinal morphology to neurodevelopmental and neurotransmission processes.

The paper describes the MoBaPsychGen pipeline for quality controlling and imputing genotyping data from the MoBa cohort, identifying extensive family relationships across 207,569 individuals.

This study links obesity and type 2 diabetes to Alzheimer's disease through genetic and transcriptomic analyses, identifying shared pathways and potential drug targets.

This study investigates genetic overlaps between psychiatric disorders, cardiometabolic diseases, and brain structure to understand shared and distinct genetic pathways contributing to comorbidity.

This study examines the genetic architecture of brain volumes in males and females, finding similar patterns but sex-dependent gene-level variability in limbic regions.

The paper identifies a schizophrenia-specific alternative splicing program in cortical brain organoids that responds to clozapine treatment.

The paper introduces a 3D brain geometry toolkit for multisite neuroimaging analysis, showing subcortical shape measures improve diagnostic and treatment prediction compared to traditional volume features.

FEMA-Long enables efficient modeling of time-dependent effects in longitudinal data, discovering genetic variants with time-dependent effects on infant growth traits.

The paper introduces JODIE, a model to estimate direct, indirect, and parent-of-origin genetic effects on height, BMI, and educational attainment using family trios from two biobanks.

This paper uses genetic data from psychiatric disorders to prioritize drug targets and compounds, identifying genetic support for existing medications and opportunities for drug repurposing.

This study compares thalamic nucleus volumes across multiple psychiatric and neurological disorders using MRI, finding significant volume reductions in specific regions associated with different conditions.

This paper develops a germline polygenic score (PRSagg) to predict prostate cancer aggressiveness and validates it across multiple datasets.

This study analyzes structural brain network changes in bipolar disorder, finding widespread connectivity disruptions linked to illness severity and medication use.

This study identifies 58 genomic regions associated with meiotic recombination, 24 of which are sex-specific, and finds a moderate genetic correlation between male and female recombination rates.

The paper identifies sex differences in genetic and biological factors contributing to ischaemic heart disease-depression comorbidity, finding higher genetic correlation in females and distinct risk factors by sex.

This study shows muscimol, a non-classic psychedelic, reduces inflammation and promotes neuroplasticity in schizophrenia-derived human cortical spheroids and astrocytes by modulating GABAA receptors.

This paper improves polygenic prediction of height in an admixed Latino cohort by incorporating genetic ancestry, achieving a 0.1 increase in R² compared to using polygenic scores alone.

This study develops a spiking network model of auditory novelty detection and shows how SCZ-related cellular changes impair mismatch negativity.

The paper introduces co-expression-based models to improve eQTL predictions and identifies novel schizophrenia-associated genes using brain RNA-seq data.

This paper identifies 58 genome-wide significant loci for major anxiety disorders using a large meta-analysis and highlights GABAergic signaling as a potential mechanism.

This study identifies a shared genetic factor underlying brain age gaps across 30 cohorts, finding 19 SNPs and associations with health traits.

The paper integrates gene expression analysis with computational modeling to show region-specific energy metabolism dysregulation in schizophrenia, identifying key genes and metabolite changes in ACC and DLPFC.

Bivariate GSA-MiXeR is a tool that models genetic correlations between two traits to identify genomic regions associated with psychiatric and neurodegenerative disorders using single-cell RNA sequencing data.

This paper conducts a GWAS of distressing premenstrual symptoms (DPS) in two Nordic populations, identifying a SNP associated with DPS and genetic correlations to psychiatric disorders.